BISA-P3: Processing and Analysis for Brain-Computer Interfaces
Thu, 3 Sep, 10:30 - 12:30 Belgium Time (UTC +2)
Location: Balcony II East
Session Type: Poster
Track: BISA - Biomedical Image & Signal Analytics

BISA-P3.1: Addressing Limited Data in Auditory Attention Decoding with Diffusion Generative Models

David Rannaleet, Victor Gunnarsson, Bo Bernhardsson, Department of Automatic Control, Lund University, Sweden; Martin Skoglund, Emina Alickovic, Eriksholm Research Centre, Denmark

BISA-P3.2: Self-Attention GAN for EEG Artifact Removal: A Comparative Evaluation

John Gaber, Luella Marcos, Javad Alirezaie, Toronto Metropolitan University, Canada

BISA-P3.3: Edge-Deployable Deep Neural Network for Atrial Fibrillation Detection in Ambulatory ECG

Atitaya Phoemsuk, Fatemeh Alidostdargah, Vahid Abolghasemi, University of Essex, United Kingdom; Abdolrahman Peimankar, Devender Kumar, University of Southern Denmark, Denmark; Helena Dominguez, Bispebjerg-Frederiksberg Hospital, Denmark; Sadasivan Puthusserypady, Technical University of Denmark, Denmark

BISA-P3.4: NEURAL RECONFIGURATION DYNAMICS: QUANTIFYING CONNECTIVITY GRADIENTS OF TONAL HIERARCHY IN EEG

Sergio Guillén, Lorenzo J. Tardón, Ana M. Barbancho, Isabel Barbancho, Universidad de Málaga, Spain

BISA-P3.5: OUROBOROSNET: AN ATTENTIVE CONDITIONAL CONVOLUTIONAL EMBEDDING NEURAL NETWORK FOR MOTOR IMAGERY

Vasileios Stergioulis, Georgios Kapakos, Gerasimos Potamianos, University of Thessaly, Greece

BISA-P3.6: CROSS-SUBJECT MULTIMODAL EMOTION RECOGNITION VIA RESTING-STATE EEG ADAPTATION

Shiwen Chu, Shanglin Li, Reinmar Kobler, Motoaki Kawanabe, Advanced Telecommunications Research Institute International, Japan

BISA-P3.7: TENSOR-BASED ANALYSIS OF TEMPORAL BRAIN NETWORKS FOR SCHIZOPHRENIA CLASSIFICATION

Áron Boldizsár Köves, Pázmány Péter Catholic University, Hungary; Borbála Hunyadi, Maastricht University, Netherlands

BISA-P3.8: Advances in Multi-subject Common Spatial Patterns for Brain-Computer Interfacing

Qingchen Zhang, Imperial College London, United Kingdom; Saeid Sanei, VinUniversity, Viet Nam

BISA-P3.10: TOPO-ESA: TOPOLOGY-DRIVEN EEG SIGNAL ANALYSIS FOR COGNITIVE WORKLOAD RECOGNITION

Kumar Gaurav, Neha Sharma, Tharun Kumar Reddy Bollu, Indian Institute of Technology Roorkee, India